Image analysis of hyperchromatic crowded cell groups in SurePath cervical cytology

Evered, Andrew; Edwards, James; Powell, George M.

doi:10.1111/cyt.12040

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…These methods were particularly helpful in identifying neoplastic HCGs from menstrual contamination. An image analysis study of HCGs, where the area, shape and color intensity of HCGs were evaluated, demonstrated little discriminative value in defining the neoplastic or benign nature of HCGs [10].…”

Section: Discussionmentioning

confidence: 99%

Cytomorphological Features of Hyperchromatic Crowded Groups in Liquid-Based Cervicovaginal Cytology: A Single Institutional Experience

Lee

Park

et al. 2019

J Pathol Transl Med

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Background: Hyperchromatic crowed groups (HCGs) are defined as three-dimensional aggregates of crowded cells with hyperchromatic nuclei, and are frequently encountered in cervicovaginal liquid-based cytology (LBC). Here, we aimed to examine the prevalence of HCGs in cervicovaginal LBC and the cytomorphological characteristics of various epithelial cell clusters presenting as HCGs. Methods:We first examined the prevalence of HCGs in a "routine cohort" of LBC cytology (n = 331), consisting of all cervicovaginal LBCs accessioned over 3 days from outpatient clinics (n = 179) and the screening population (n = 152). Then we examined a second "high-grade epithelial cell abnormalities (H-ECA) cohort" (n = 69) of LBCs diagnosed as high-grade squamous intraepithelial lesion (HSIL), squamous cell carcinoma (SCC), or adenocarcinoma during 1 year. Results: HCGs was observed in 34.4% of the routine cohort and were significantly more frequent in the epithelial cell abnormality category compared to the non-neoplastic category (p = .003). The majority of HCGs represented atrophy (70%). Of the 69 histologically confirmed H-ECA cases, all contained HCGs. The majority of cases were HSIL (62%), followed by SCC (16%). Individually scattered neoplastic cells outside the HCGs were significantly more frequent in SCCs compared to glandular neoplasia (p = .002). Despite the obscuring thick nature of the HCGs, examining the edges and the different focal planes of the HCGs and the background were helpful in defining the nature of the HCGs. Conclusions: HCGs were frequently observed in cervicovaginal LBC and were mostly non-neoplastic; however, neoplastic HCGs were mostly high-grade lesions. Being aware of the cytomorphological features of different HCGs is important in order to avoid potential false-negative cytology interpretation.

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Section: Discussionmentioning

confidence: 99%

Cytomorphological Features of Hyperchromatic Crowded Groups in Liquid-Based Cervicovaginal Cytology: A Single Institutional Experience

Lee

Park

et al. 2019

J Pathol Transl Med

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“…Recently, in reporting uterine cervical liquid-based cytology, more emphasis has been placed on hyperchromatic crowded groups (HCG) to assist cytological assessment [9][10][11]. HCG were initially reported by DeMay et al [9] and were defined as dense 3-dimensional tissue fragments comprising hyperchromatic cells with a high N/C, more commonly seen in cytobrush collected specimens.…”

Section: Introductionmentioning

confidence: 99%

Usefulness of Fractal Analysis of Kirsch Edge Images for the Tissue Fragment Inner Structure in Breast FNAB

et al. 2021

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Objective: Recent advances in high-precision mammography and ultrasound screening have led to an increase in the detection of early lesions (ductal carcinoma in situ and small cancers) appearing as microcalcified lesions or microcystic images, and there needs to be an improvement in the accuracy of breast fine-needle aspiration biopsy (FNAB) assessing these lesions. The objective of this study was to investigate whether fractal analysis of Kirsch edge images for the tissue fragment inner structure (FKT) is useful in breast FNAB. FKT measures tissue fragment chromasia of hyperchromatic crowded tissue fragments (HCG), tissue fragment shape unevenness, and tissue fragment inner structure complexity. Study Design Materials: Nineteen epithelial tissue fragments of fibroadenoma (FA) from 7 patients and 52 tissue fragments of invasive breast carcinoma of no special type (IBC-NST) (grade 1–2) from 11 patients were assessed. First, tissue fragments were classified into small (smaller than 60 × 102 μm2), medium, and large (100 × 102 μm2 or larger), and the appearance rate of each size was determined. Second, for FKT, the luminance value of tissue fragment chromasia, the unevenness and fractal value, and the tissue fragment inner structure complexity were determined. In statistical analysis, the Steel-Dwass test, nonlinear discriminant analysis, and receiver operating characteristic analysis were performed, setting the significance level at p < 0.05. Results: “Unevenness of the tissue fragment shape,” “fractal value of the tissue fragment shape,” and “fractal value of the tissue fragment inner structure” were significantly higher in small and large tissue fragments in IBC-NST compared with those in FA. The specificity and sensitivity were the highest (100%) in small tissue fragments in multivariate analysis using 4 variables (“luminance value of tissue fragment chromasia,” “unevenness of tissue fragment shape,” “fractal value of the tissue fragment shape,” and “fractal value of the tissue fragment inner structure”). Conclusion: FKT, which evaluates “tissue fragment darkness,” “tissue fragment shape unevenness,” and “tissue fragment inner structure complexity” focusing on small tissue fragments of HCG in breast FNAB, is useful as a system that assists cytopathological assessment of breast FNAB.

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“…Gilshtein et al then performed discrimination with wavelet analysis using these features and achieved an accuracy of 96% in distinguishing malignant follicular lesions. Evered et al extracted signal intensity and morphological features from hyperchomatic‐crowed cell groups of normal and abnormal lesions . Discriminant function analysis was performed using these features, attaining an accuracy of 70%.…”

Section: Introductionmentioning

confidence: 99%

Image quantification technology of the heterochromatin and euchromatin region for differential diagnosis in the lobular endocervical glandular hyperplasia

Kimura

Kobayashi

Kanai

et al. 2019

Diagnostic Cytopathology

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Background Lobular endocervical glandular hyperplasia (LEGH) was first described by Nucci et al. in 1999 and is believed to be a precancerous lesion of minimal deviation adenocarcinoma and gastric‐type adenocarcinoma in the uterine cervix. LEGH lesions do not always exhibit apparent cellular and structural atypia, so are difficult to distinguish from normal endocervical cells (EC cells) with cytological examination. Therefore, we often struggle to make a definite diagnosis of LEGH. Methods We used microscopy images of cytological specimens that were diagnosed as EC cells and LEGH cells. Signal intensity in whole nuclear area and in heterochromatin and euchromatin regions, euchromatin area ratio, and nuclear morphological features were quantified in each cell nucleus of the cases. Statistical analyses were conducted to determine statistical significance. Finally, we performed linear support vector machine (LSVM) modeling as a discriminant analysis using the quantified features. Results Signal intensity in whole nuclear area, and heterochromatin and euchromatin regions of EC cell nuclei were higher than that of the LEGH cell nuclei. Morphologically, EC cell nuclei were larger than LEGH cell nuclei, and nuclei of LEGH cells had irregular nuclear respectively membrane structure and an elongated shape. The LSVM accuracy of 10‐fold cross validation and leave‐one‐case‐out cross‐validation (LOCOCV) using all measured features were 84.7% to 89.3% and 78.6% to 86.0%, respectively. Conclusions The LVSM analysis using features extracted from signal intensity and morphological analysis was useful for discrimination of EC cells vs LEGH cells. We therefore believe that this image analysis method could be used for early detection of LEGH.

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Image analysis of hyperchromatic crowded cell groups in SurePath cervical cytology

Cited by 5 publications

References 18 publications

Cytomorphological Features of Hyperchromatic Crowded Groups in Liquid-Based Cervicovaginal Cytology: A Single Institutional Experience

Cytomorphological Features of Hyperchromatic Crowded Groups in Liquid-Based Cervicovaginal Cytology: A Single Institutional Experience

Usefulness of Fractal Analysis of Kirsch Edge Images for the Tissue Fragment Inner Structure in Breast FNAB

Image quantification technology of the heterochromatin and euchromatin region for differential diagnosis in the lobular endocervical glandular hyperplasia

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